DANH SÁCH CÁC BÀI BÁO KHOA HỌC GIAI ĐOẠN 2013 - 2022

LĨNH VỰC CÔNG NGHỆ THÔNG TIN
Bài báo đăng trên tạp chí/hội nghị quốc tế

1. Dang, X. T., & Dao, N. A. (2022). Implementation of SMOTE and VGG-16 for COVID-19 Radiography. In Intelligent Systems and Networks (pp. 511-518). Springer, Singapore.
2. Giang T.T., Nguyen T.P., Pham Q.T. and Tran D.H. (2021) A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification, AICI2021, Springer, 21-33.
3. Nguyen V.T., Le T.T.K, Khoat T., and Tran D.H.(2021) Predicting miRNA-disease associations using improved random walk with restart and integrating multiple similarities, Scientific Reports (ISI Q1), 11, 21071, DOI: 10.1038/s41598-021-00677-w.
4. Nguyen V.T., Le T.T.K, Nguyen T.Q.V, and Tran D.H. (2021) Inferring miRNA-disease associations using collaborative filtering and resource allocation on a tripartite graph, BMC Medical Genomics (ISI Q2), Vol 14, Supl 3 (selected from APBC2021). DOI: 10.1186/s12920-021-01078-8.
5. Nguyen V.T. and Tran D.H. (2021) An improved computational method for prediction of lncRNA-disease associations based on collaborative filtering and resource allocation, KSE2021, Bangkok, Thailand, November 10-12 (accepted).
6. VT Nguyen, TTK Le, TQV Nguyen, DH Tran (2021) Inferring miRNA-disease associations using collaborative filtering and resource allocation on a tripartite graph, The paper was invited to be published as a supplement in the BMC Journal series The 19th Asia Pacific Bioinformatics Conference (APBC2021).
7. TT Giang, TP Nguyen, QT Pham, and DH Tran (2021) A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification, Springer In proceedings of the 2nd International Conference on Artificial Intelligence and Computational Intelligence (AICI 2021).
8. Tho, D. X., & Anh, D. N. (2021) Deep Learning-Based Imbalanced Data Classification for Chest X-Ray Image Analysis, The International Conference on Intelligent Systems & Networks. Springer.
9. Dang Xuan Tho and Dao Nam Anh (2021) Imbalance in Learning Chest X-ray Images for COVID-19 Detection, Accepted paper for AICI 2021.
10. Cat Ho Nguyen, Thi Lan Pham, Tu N.Nguyen, Cam Ha Ho, Thu Anh Nguyen (2021) The linguistic summarization and the interpretability, scalability of fuzzy representations of multilevel semantic structures of word-domains, Microprocessors and Microsystems (ISI Q3) Volume 81, March 2021, 103641.
11. Thai T.V., Bui D.H., Dang X.T., Tran D.H., Luong T.D (2020) A New Computational Method Based on Heterogeneous Network for Predicting miRNA-disease Associations, The 2020 International Conference on Artificial Intelligence and Computational Intelligence, Springer, 205-219.
12. V. T. Nguyen, T. T. K. Le and D. H. Tran (2020) A new method on lncRNA-disease-miRNA tripartite graph to predict lncRNA-disease associations, IEEE 12th International Conference on Knowledge and Systems Engineering (KSE), pp. 287-293.
13. Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan, Naixue Xiong (2020) Effective Evolutionary Algorithm for Solving the Real-Resource-Constrained Scheduling Problem, Journal of Advanced Transportation Volume 2020, Article ID 8897710, 11 pages, 2020. DOI: 10.1155/2020/8897710.
14. Nguyen, Thi-Thuy-Lien, and Tuan-Minh Pham (2020) Efficient Traffic Engineering in an NFV Enabled IoT System, Sensors no. 11 (2020): 3198.
15. D. Anh, B. Hung, P. Huy, & D. Tho (2020) Feature Analysis for Imbalanced Learning, Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.24, No.5, pp. 648-655.
16. Thuy NTT, Dung NDC, Trung NC,Huy VQ, Trang NTV (2020) Influent Factors to Individual Online Consumer Behavior: A Vietnamese Case Study, Publisher: IEEE 2020 12th International Conference on Knowledge and Systems Engineering (KSE) 2020.
17. Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan, Toan Phan Thanh, Naixue Xiong (2020) Intelligent Differential Evolution Scheme for Network Resources in IoT, Scientific Programming Volume 2020, Article ID 8860384 | 12, 2020. DOI: 10.1155/2020/8860384.
18. Thuy NTT, Trung NC, Thuy NT, Lich NT and Loan NTB (2020) Machine Learning Solution in Peer to Peer Loan Service in Vietnamese Banks, JARDCS – Journal of Advanced Research in Dynamical and Control Systems Volume 12, 07-Special Issue, DOI: 10.5373/JARDCS/V12SP7/20202268.
19. Tuan-Minh Pham, Serge Fdida, Thi-Thuy-Lien Nguyen, Hoai-Nam Chu (2020) Modeling and analysis of robust service composition for network functions virtualization, Comput. Networks 166 166.
20. T. -M. Pham and T. -T. -L. Nguyen (2020) Optimization of Resource Management for NFV-Enabled IoT Systems in Edge Cloud Computing, IEEE Access, vol. 8, pp. 178217-178229.
21. Hung, B. D., Anh, D. N., & Tho, D. X (2020) Relabeling with Mask-S for Imbalanced Class Distribution, In Frontiers in Intelligent Computing: Theory and Applications (pp. 31-41.
22. Giang T.T., Nguyen T.P., Tran D.H (2020) Stratifying Patients Using Multiple Kernel Learning Framework: Case studies of Alzheimer’s Disease and Cancers, BMC Medical Informatics and Decision Making 20.1 (2020): 1-15.
23. Luong van Hieu, Do Trung Kien (2020) Optimal Provisioning Of Optical Networks With Asymmetric Nodes, Journal Of Science Of HNUE Số 10/2020 EN.
24. Lan Pham-Thi, Ho Nguyen-Cat, Phong Pham-Dinh (2020) Extracting an Optimal Set of Linguistic Summaries using Genetic Algorithm Combined with Greedy Strategy, Journal of Research and Development on Information and Communication Technology Vol 2020 No 2.
25. Nguyen Thi Quynh Hoa, Dang Thanh Trung, Azeddine Beghdadi, Heyfa Ammar, Amel Benazza (2019) Automatic blotch removal using a perceptual approach, 11TH International Conference on Knowledge and Systems Engineering (KSE).
26. Thuy NTT, Lich NT, Thuy NT, Toan NT, Trung NC (2019) Improving Classification by Using MASI Algorithm for Resampling Imbalanced Dataset, I.J. Intelligent Systems and Applications, MECS Press. International Journal of Intelligent Systems and Applications(IJISA) IJISA Vol.11, No.10, Oct. 2019.
27. Thi-Hanh Nguyen, Duc-Hanh Dang, Quang-Trung Nguyen (2019) On Analyzing Rule-Dependencies to Generate Test Cases for Model Transformations, 11TH International Conference on Knowledge and Systems Engineering (KSE).
28. Tien Thanh Dam, Duy Thinh Nguyen, Quoc Trung Bui, Trung Kien Do (2019) On the Traveling Salesman Problem with Hierarchical Objective Function, 11TH International Conference on Knowledge and Systems Engineering (KSE).
29. Doan Thi Que, Nguyen Trong Thai, Nguyen Xuan Quyen and Thang Manh Hoang (2019) Performance of An Improved-DCSK Scheme Using 2x2 MIMO Over Fading Channels, Proc. Int. Conf. of Advanced Tecnologies for Communications Hanoi, Vietnam, October – 2019, pp. 375-379.
30. Xuan Tho Dang, Duong Hung Bui, Thi Hong Nguyen, Tran Quoc Vinh Nguyen, Dang Hung Tran (2019) Prediction of Autism-Related Genes Using a New Clustering-Based Under-Sampling Method, 11TH International Conference on Knowledge and Systems Engineering (KSE).
31. Huyen T.T.N., César R., Marcelo S., Camille C., Laure P. (2018) Quasia-optimal partial order reduction, International Conference on Computer Aided Verification, 354-371.
32. Pham T.M., Lien N.T.T (2018) Optimization Model and Algorithm for Dynamic Service-Aware Traffic Steering in Network Functions Virtualization, 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE), 107-112.
33. Giang T.T., Nguyen T.P., Nguyen T.Q.V., Tran D.H. (2018) fMKL-DR: A Fast Multiple Kernel Learning Framework with Dimensionality Reduction. In proceedings of 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2018. Lecture Notes in Computer Science, vol 10758. Springer, 153 - 165.
34. Pham T.L., Ho C.H., Nguyen C.H. (2018) Linguistic Summarization Based on the Inherent Semantics of Linguistic Words. In proceedings of 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2018. Lecture Notes in Computer Science, vol 10758. Springer.
35. Huynh V.-N., Inuiguchi M., Tran D.H., Denoeux T. (Eds.) Integrated Uncertainty in Knowledge Modelling and Decision Making - 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings. Lecture Notes in Computer Science 10758, Springer 2018, ISBN 978-3-319-75428-4.
36. T. T. Giang, T. P. Nguyen and D.H. Tran, Stratifying cancer patients based on multiple kernel learning and dimensionality reduction, 2017 9th International Conference on Knowledge and Systems Engineering (KSE), Hue, 2017, pp. 106-111.
37. Toan, Phan & Nguyen The, Loc & Elnaffar, Said & Nguyen Doan, Cuong. (2016). LPSO: Another Algorithm for Workflow Scheduling in the Cloud. Journal of Computer Science. 12. 611-617. 10.3844/jcssp.2016.611.617.
38. Toan Phan Thanh, Loc Nguyen The, and Cuong Nguyen Doan. 2016. A robus and effective MODE algorithm for workflow scheduling in cloud enveronment. In Proceedings of the Seventh Symposium on Information and Communication Technology (SoICT "16). ACM, New York, NY, USA, 259-264. DOI: https://doi.org/10.1145/3011077.3011083
39. Nguyen Thi-Thuy-Lien, Pham Tuan-Minh, Huynh Thi Thanh Binh (2016) Adaptive multipath routing for network functions virtualization, The Seventh Symposium on Information and Communication Technology, ACM New York, NY, USA ©2016, 222-228.
40. Tran thi Hoa & Vu Dinh Hoa. Recognizing Dominating Graphs with σ ≥ n/3. (2015) International Journal of Advanced Research in Computer Science and Software Engineering. Volume 5, Issue 6, June 2015.
41. Vu Dinh Hoa. K-regular graph with diameter 2. K-REGULAR GRAPH WITH DIAMETER 2. International Journal of Advanced Computer Technology VOLUME 4, NUMBER 5, 14-19, 2015.
42. Nguyen Huu Xuan Truong & Vu Dinh Hoa. A New Lower Bound for the Circumference of Tough Graphs. International Journal of Advanced Research in Computer Science and Software Engineering. Volume 5, Issue 9, September 2015.
43. Nguyen Huu Xuan Truong & Vu Dinh Hoa. Hamiltonian Cycles in Graphs . International Journal of Computer Science and Business Informatics Vol. 15, No. 2. MARCH 2015.
44. X. T. Dang, D. H. Tran, O. Hirose and K. Satou, SPY: A Novel Resampling Method for Improving Classification Performance in Imbalanced Data, 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, 2015, pp. 280-285.
45. Kien T. Le, T. , Hirose, O. , Tran, V. , Saethang, T. , T. Nguyen, L. , Dang, X. , Ngo, D. , Kubo, M. , Yamada, Y. and Satou, K. (2014) Predicting residue contacts for protein-protein interactions by integration of multiple information. Journal of Biomedical Science and Engineering, 7, 28-37. doi: 10.4236/jbise.2014.71005.
46. Kien T. Le, Tu & Hirose, Osamu & Nguyen, Lan & Saethang, Thammakorn & Anh Tran, Vu & Dang, Xuan & Luu Ngo, Duc & Kubo, Mamoru & Yamada, Yoichi & Satou, Kenji. (2014). Inference of domain-domain interactions by matrix factorisation and domain-level features. International Journal of Functional Informatics and Personalised Medicine. 4. 259. 10.1504/IJFIPM.2014.068174.
47. Nguyen, L. , Dang, X. , Le, T. , Saethang, T. , Tran, V. , Ngo, D. , Gavrilov, S. , Nguyen, N. , Kubo, M. , Yamada, Y. and Satou, K. (2014) Predicting Βeta-Turns and Βeta-Turn Types Using a Novel Over-Sampling Approach. Journal of Biomedical Science and Engineering, 7, 927-940. doi: 10.4236/jbise.2014.711090.
48. Tran, V. , Hirose, O. , Saethang, T. , Nguyen, L. , Dang, X. , Le, T. , Ngo, D. , Sergey, G. , Kubo, M. , Yamada, Y. and Satou, K. (2014) D-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering. Journal of Software Engineering and Applications, 7, 639-654. doi: 10.4236/jsea.2014.78059.
49. Le, Ngoc Tu and Ho, Tu Bao and Ho, Bich Hai and Tran, Dang Hung. A nucleosomal approach to inferring causal relationships of histone modifications. BMC Genomics, 15, 1471-2164.
50. Jaumard, B., Hoang, H.A. & Kien, D.T. Robust FIPP p-cycles against dual link failures. Telecommun Syst [16]. (2014) 56: 157 https://doi.org/10.1007/s11235-013-9825-8
51. B. Jaumard and D. T. Kien, Optimizing ROADM configuration in WDM networks, 2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks), Funchal, 2014, pp. 1-7.
52. B. Jaumard and T. K. Do, Resilient distributed design of very large multi-domain optical networks, 2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks), Funchal, 2014, pp. 1-7.
53. Luong T.D., Tran D.H. (2014) Privacy Preserving Frequency-Based Learning Algorithms in Two-Part Partitioned Record Model. In: Huynh V., Denoeux T., Tran D., Le A., Pham S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 245. Springer.
54. D. T. Trung, A. Beghdadi and M. Larabi, Blind inpainting forgery detection, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, 2014, pp. 1019-1023. doi: 10.1109/GlobalSIP.2014.7032275.
55. Cerf, Loïc & Besson, Jérémy & T. Nguyen, Kim-Ngan & Boulicaut, Jean-François. (2013). Closed and Noise-Tolerant Patterrns in N-ary Relations.. Data Mining and Knowledge Discovery. 26. 10.1007/s10618-012-0284-8.
56. Nguyen, Kim-Ngan et al. “Discovering descriptive rules in relational dynamic graphs.” Intell. Data Anal. 17 (2013): 49-69.
57. Huynh V.-N., Denoeux T., Tran D.H., Le A.C., Pham S.B. (Eds.), Knowledge and Systems Engineering – Proceedings of The Fifth International Conference KSE 2013, Volumes I and II, Advances in Intelligent and Soft Computing 244–245, Springer-Verlag, 2013.